Overestimation of the adaptive substitution rate in fluctuating populations

Marjolaine Rousselle, Maéva Mollion, Benoît Nabholz, Thomas Bataillon, Nicolas Galtier

Biology Letters · 2018 · 45 citations · 13 references

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Abstract

Estimating the proportion of adaptive substitutions ( α ) is of primary importance to uncover the determinants of adaptation in comparative genomic studies. Several methods have been proposed to estimate α from patterns polymorphism and divergence in coding sequences. However, estimators of α can be biased when the underlying assumptions are not met. Here we focus on a potential source of bias, i.e. variation through time in the long-term population size ( N ) of the considered species. We show via simulations that ancient demographic fluctuations can generate severe overestimations of α , and this is irrespective of the recent population history.

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